Genome-wide analysis of a long-term evolution experiment with Drosophila.
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| Title: | Genome-wide analysis of a long-term evolution experiment with Drosophila. |
|---|---|
| Authors: | Burke, Molly K., Dunham, Joseph P., Shahrestani, Parvin, Thornton, Kevin R., Rose, Michael R., Long, Anthony D. |
| Source: | Nature. 9/30/2010, Vol. 467 Issue 7315, p587-590. 4p. 4 Graphs. |
| Subjects: | Drosophila genetics, Biological evolution, Insect development, Insect reproduction, Genomes, Asexual reproduction, Phenotypes |
| Abstract: | Experimental evolution systems allow the genomic study of adaptation, and so far this has been done primarily in asexual systems with small genomes, such as bacteria and yeast. Here we present whole-genome resequencing data from Drosophila melanogaster populations that have experienced over 600 generations of laboratory selection for accelerated development. Flies in these selected populations develop from egg to adult ?20% faster than flies of ancestral control populations, and have evolved a number of other correlated phenotypes. On the basis of 688,520 intermediate-frequency, high-quality single nucleotide polymorphisms, we identify several dozen genomic regions that show strong allele frequency differentiation between a pooled sample of five replicate populations selected for accelerated development and pooled controls. On the basis of resequencing data from a single replicate population with accelerated development, as well as single nucleotide polymorphism data from individual flies from each replicate population, we infer little allele frequency differentiation between replicate populations within a selection treatment. Signatures of selection are qualitatively different than what has been observed in asexual species; in our sexual populations, adaptation is not associated with 'classic' sweeps whereby newly arising, unconditionally advantageous mutations become fixed. More parsimonious explanations include 'incomplete' sweep models, in which mutations have not had enough time to fix, and 'soft' sweep models, in which selection acts on pre-existing, common genetic variants. We conclude that, at least for life history characters such as development time, unconditionally advantageous alleles rarely arise, are associated with small net fitness gains or cannot fix because selection coefficients change over time. [ABSTRACT FROM AUTHOR] |
| Copyright of Nature is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Psychology and Behavioral Sciences Collection |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: pbh DbLabel: Psychology and Behavioral Sciences Collection An: 54006884 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Genome-wide analysis of a long-term evolution experiment with Drosophila. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Burke%2C+Molly+K%2E%22">Burke, Molly K.</searchLink><br /><searchLink fieldCode="AR" term="%22Dunham%2C+Joseph+P%2E%22">Dunham, Joseph P.</searchLink><br /><searchLink fieldCode="AR" term="%22Shahrestani%2C+Parvin%22">Shahrestani, Parvin</searchLink><br /><searchLink fieldCode="AR" term="%22Thornton%2C+Kevin+R%2E%22">Thornton, Kevin R.</searchLink><br /><searchLink fieldCode="AR" term="%22Rose%2C+Michael+R%2E%22">Rose, Michael R.</searchLink><br /><searchLink fieldCode="AR" term="%22Long%2C+Anthony+D%2E%22">Long, Anthony D.</searchLink> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Nature%22">Nature</searchLink>. 9/30/2010, Vol. 467 Issue 7315, p587-590. 4p. 4 Graphs. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Drosophila+genetics%22">Drosophila genetics</searchLink><br /><searchLink fieldCode="DE" term="%22Biological+evolution%22">Biological evolution</searchLink><br /><searchLink fieldCode="DE" term="%22Insect+development%22">Insect development</searchLink><br /><searchLink fieldCode="DE" term="%22Insect+reproduction%22">Insect reproduction</searchLink><br /><searchLink fieldCode="DE" term="%22Genomes%22">Genomes</searchLink><br /><searchLink fieldCode="DE" term="%22Asexual+reproduction%22">Asexual reproduction</searchLink><br /><searchLink fieldCode="DE" term="%22Phenotypes%22">Phenotypes</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Experimental evolution systems allow the genomic study of adaptation, and so far this has been done primarily in asexual systems with small genomes, such as bacteria and yeast. Here we present whole-genome resequencing data from Drosophila melanogaster populations that have experienced over 600 generations of laboratory selection for accelerated development. Flies in these selected populations develop from egg to adult ?20% faster than flies of ancestral control populations, and have evolved a number of other correlated phenotypes. On the basis of 688,520 intermediate-frequency, high-quality single nucleotide polymorphisms, we identify several dozen genomic regions that show strong allele frequency differentiation between a pooled sample of five replicate populations selected for accelerated development and pooled controls. On the basis of resequencing data from a single replicate population with accelerated development, as well as single nucleotide polymorphism data from individual flies from each replicate population, we infer little allele frequency differentiation between replicate populations within a selection treatment. Signatures of selection are qualitatively different than what has been observed in asexual species; in our sexual populations, adaptation is not associated with 'classic' sweeps whereby newly arising, unconditionally advantageous mutations become fixed. More parsimonious explanations include 'incomplete' sweep models, in which mutations have not had enough time to fix, and 'soft' sweep models, in which selection acts on pre-existing, common genetic variants. We conclude that, at least for life history characters such as development time, unconditionally advantageous alleles rarely arise, are associated with small net fitness gains or cannot fix because selection coefficients change over time. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Nature is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1038/nature09352 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 4 StartPage: 587 Subjects: – SubjectFull: Drosophila genetics Type: general – SubjectFull: Biological evolution Type: general – SubjectFull: Insect development Type: general – SubjectFull: Insect reproduction Type: general – SubjectFull: Genomes Type: general – SubjectFull: Asexual reproduction Type: general – SubjectFull: Phenotypes Type: general Titles: – TitleFull: Genome-wide analysis of a long-term evolution experiment with Drosophila. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Burke, Molly K. – PersonEntity: Name: NameFull: Dunham, Joseph P. – PersonEntity: Name: NameFull: Shahrestani, Parvin – PersonEntity: Name: NameFull: Thornton, Kevin R. – PersonEntity: Name: NameFull: Rose, Michael R. – PersonEntity: Name: NameFull: Long, Anthony D. IsPartOfRelationships: – BibEntity: Dates: – D: 30 M: 09 Text: 9/30/2010 Type: published Y: 2010 Identifiers: – Type: issn-print Value: 00280836 Numbering: – Type: volume Value: 467 – Type: issue Value: 7315 Titles: – TitleFull: Nature Type: main |
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